A statistical view of binned retrieval models

Metzler, D, Strohman, T and Croft, B 2008, 'A statistical view of binned retrieval models', in Craig Macdonald, Iadh Ounis, Vassilis Plachouras, Ian Ruthven and RyenW. White (ed.) Proceedings of the 30th European Conference on Information Retrieval (ECIR 2008), Glasgow, Scotland, 30 March - 3 April 2008, pp. 175-186.


Document type: Conference Paper
Collection: Conference Papers

Title A statistical view of binned retrieval models
Author(s) Metzler, D
Strohman, T
Croft, B
Year 2008
Conference name 30th European Conference on Information Retrieval (ECIR 2008)
Conference location Glasgow, Scotland
Conference dates 30 March - 3 April 2008
Proceedings title Proceedings of the 30th European Conference on Information Retrieval (ECIR 2008)
Editor(s) Craig Macdonald, Iadh Ounis, Vassilis Plachouras, Ian Ruthven and RyenW. White
Publisher Springer
Place of publication Berlin, Germany
Start page 175
End page 186
Total pages 12
Abstract Many traditional information retrieval models, such as BM25 and language modeling, give good retrieval effectiveness, but can be difficult to implement efficiently. Recently, document-centric impact models were developed in order to overcome some of these efficiency issues. However, such models have a number of problems, including poor effectiveness, and heuristic term weighting schemes. In this work, we present a statistical view of document-centric impact models. We describe how such models can be treated statistically and propose a supervised parameter estimation technique. We analyze various theoretical and practical aspects of the model and show that weights estimated using our new estimation technique are significantly better than the integer-based weights used in previous studies.
Subjects Information Systems not elsewhere classified
DOI - identifier 10.1007/978-3-540-78646-7_18
Copyright notice © 2008 Springer-Verlag Berlin Heidelberg
ISBN 9783540786450
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